Lead Specialist, Azure Data Solutions - 25050

Lead Specialist, Azure Data Solutions - 25050

Job Locations

US-DC-Washington

# of Openings

Overview

World Wildlife Fund (WWF), one of the world's leading conservation organizations, seeks a Lead Specialist, Azure Data Solutions.

The Lead Specialist, Azure Data Solutions is a hands-on data engineering role responsible for designing, implementing, and maintaining end-to-end solutions using Microsoft Fabric and Azure services. This role involves configuring and managing Fabric workspaces, developing data models and pipelines, integrating data sources into OneLake and Blob Storage, and ensuring data quality and integrity. The specialist also creates and manages Power BI reports and dashboards, optimizes solutions for performance and reliability, and stays updated with the latest Fabric and Azure best practices.

The role also serves as a trusted proxy for the Director of Data Solutions in meetings, representing the team's work and providing guidance on data best practices.

Salary Range : $126,600 to $181,900

Please note : Applicants must be legally authorized to work in the U.S. This position is not eligible for employment visa sponsorship. In compliance with federal law, all persons hired willbe required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

• All applicants are strongly encouraged to submit a cover letter
• This position is NOT eligible for relocation
• This position is hybrid - 2 days per week at our DC office

Responsibilities

Designs, implements, and maintains data solutions using Microsoft Fabric and Azure services.

efficiency.

Key Competencies

Core capabilities for this role include analytical thinking, problem solving, communication skills, and business knowledge. Specifically, the following competencies are essential :

Interpersonal Communication and Collaboration - collaborate effectively with colleagues, and receive and incorporate feedback well.

Technical Adaptability - Embraces new technologies, adjusts to workflow modifications, and thrives in dynamic environments.

Data analysis / Analytical Thinking - Ability to investigate a problem and find the ideal solution in a timely, efficient manner; Ability to read, understand, and interpret data to solve business challenges or create a compelling narrative to inform business decisions.

Big Picture Thinking - the ability to solve complex problems with a "big picture" perspective and a sensitivity to many moving parts.

Qualifications

Minimum 6 years of relevant data experience.

Experience with other Azure services such as Azure Synapse Analytics and Azure Databricks.

COURAGE - We demonstrate courage through our actions, we work for change where it's needed, and we inspire people and institutions to tackle the greatest threats to nature and the future of the planet, which is our home.

To Apply :

World Wildlife Fund (WWF) promotes equal employment opportunities for all qualified individuals regardless of age, race, color, sex, religion, national origin, disability, or veteran status, or any other characteristic protected under applicable law.